| Pub. Date | : Dec, 2023 |
|---|---|
| Product Name | : The IUP Journal of Information Technology |
| Product Type | : Article |
| Product Code | : IJIT021223 |
| Author Name | : Temesgen Tona, Getachew Tewachew and Durga Prasad Sharma |
| Availability | : YES |
| Subject/Domain | : Engineering |
| Download Format | : PDF Format |
| No. of Pages | : 18 |
The paper analyzes the issues and challenges of the current information and communication process of private sector healthcare institutions in Ethiopia. Both qualitative and quantitative research approaches were used to collect and analyze data using surveys, interviews, observation and related secondary source documents. The analysis indicated the research gaps in the current information and communication process models and the clear direction toward a solution. This study employed a mixed research design (both exploratory and applied research) and used Google Forms for a survey and interview-based fact-finding and analysis, Microsoft Visio for model designing, and Protopie for prototyping. As a final contribution, the study designed and validated a cloud-based green information and communication process model for the federated healthcare institutions in developing countries in general and the Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia in particular. This model can be used as an important instrument for inter or intra institutional collaboration and communications. Based on the user acceptance and demonstrated validation, the results indicate improvements in energy, efficiency, unified data repository, intra institutional collaboration, information sharing, trusted and ethical information and unified integration and share-ability. The test validated the model and its prototype as a new knowledge contribution to the domain. The research findings can be used as a basis for next-generation transformation of private sector healthcare institutions in developing countries such as Ethiopia.
Health Information Service (HIS) has the potential to be very crucial for Ethiopia's health sector development; however, it continues to be not designed in nations' health sector. As a developing country, Ethiopia lacks strategic models that can provide an efficient and effective information and communication process over unified integrated
Convolutional neural network (CNN), Long short-term memory (LSTM), Image caption, Monte-Carlo (MC) search, Attention-GAN